TECHNICAL FIELD
[0001] The disclosure relates to the field of washing machines, and particularly relates
to a method for quickly recommending commodities by using a washing machine and the
washing machine.
BACKGROUND
[0002] Along with the upgrading of washing machines, functions of the washing machines are
also increasing, including automatically adding a detergent and a softener, and even
sending out a prompt when the detergent and the softener are to be used up to remind
a user of purchasing corresponding laundry products in time.
[0003] However, at present, when people purchase the laundry products, it is frequent and
necessary for them to keep it in mind. They will go to a supermarket to purchase the
laundry products or search for the corresponding laundry products in a shopping mall
on a mobile phone or a computer, choose a commodity, place an order and pay for the
commodity to finish the purchase. Nonetheless, such a condition that often takes place
in life that when a user washes clothes and finds the laundry products is used up,
he/she remembers to purchase at that time and will forget it soon after one thing
is finished. When the laundry products needs to be used again, it has been used up
and thus he/she cannot make a purchase timely and quickly. In addition, there are
many diversified types of the laundry products, and it takes a lot of time to select
an appropriate one, sometimes, professional washing knowledge is required. For a common
user, the online shopping efficiency is extremely low; and particularly for a fast-paced
urban white-collar worker, it is extremely inconvenient. Therefore, a washing machine
is urgently needed that recommends the most suitable laundry products for the user
when the laundry products is found to be used up during washing.
[0004] In view of this, the disclosure is provided.
SUMMARY
[0005] The technical problem to be solved by the disclosure is to overcome the shortcomings
of the prior art and provides a method for quickly recommending commodities by using
a washing machine. By sending a trigger signal to the washing machine, and recommending
most appropriate commodities by a server using big data, the online shopping time
of a user is saved, the shopping efficiency of the user is improved, the operation
of the user is simplified and thus the quick purchase of the commodities is implemented.
[0006] Another object of the disclosure is to provide a washing machine adopting the method.
[0007] The technical solutions of the disclosure to the technical problems are as follows.
[0008] The disclosure provides a method for quickly recommending commodities by using a
washing machine, which includes:
S11: enabling the washing machine to receive a trigger signal;
S12: sending a commodity recommendation command to a server, the commodity recommendation
command at least including an identifier of the trigger signal;
S13: enabling the server to search for a keyword corresponding to the commodity recommendation
command, automatically recommend commodities relevant to the keyword by using big
data and send recommended commodities to an intelligent terminal bound to the washing
machine after the server receives the commodity recommendation command; and
S14, enabling the intelligent terminal to display the recommended commodities on a
display interface, the displayed information at least including commodity identifiers
and Uniform Resource Locator (URL) addresses corresponding to the commodity identifiers.
[0009] Further, the step of enabling the server to automatically recommend the commodities
relevant to the keyword by using big data includes:
A11: enabling the server to search for all commodities relevant to the keyword in
at least one online shopping mall according to the keyword;
A12: enabling the server to actively obtain additional information, the additional
information including at least one of a group consisted of a historical purchase record
of a user, a commodity browse record of the user, position information of the washing
machine, a current season and current weather; and
A13: enabling the server to recommend commodities relevant to the additional information
from the searched commodities by using the big data.
[0010] Further, before the step S14, the method further includes:
popping out a piece of prompt information on the display interface of the intelligent
terminal, the prompt information being used for prompting on whether to display the
recommended commodities on the display interface of the terminal or not, and if yes,
executing the step S14.
[0011] Further, in the step S14, the intelligent terminal further displays an option of
at least one sorting criterion on the display interface, for sorting the recommended
commodities according to the sorting criterion; and
the sorting criterion includes at least one of a group consisted of sorting according
to prices, sorting according to comments, sorting according to popularities, and sorting
according to access amounts to the online shopping mall.
[0012] Further, the commodity recommendation command further includes identity identification
information; and the identity identification information includes a washing machine
code and/or a user ID.
[0013] Further, before the step S11, the method further includes: setting a corresponding
relationship between the commodity recommendation command and the keyword; and the
setting method includes:
B11: binding the washing machine with the intelligent terminal;
B12: enabling the intelligent terminal to obtain the identity identification information
and the identifier of the trigger signal, and store the identity identification information
and the identifier of the trigger signal into the commodity recommendation command;
and
B13: enabling the intelligent terminal to set the keyword corresponding to the commodity
recommendation command, and store the corresponding relationship therebetween to the
server.
[0014] Further, a recommendation apparatus is arranged on the washing machine; and when
the recommendation apparatus is triggered, the trigger signal is sent to the washing
machine.
[0015] Further, the recommendation apparatus is a touch panel, and when the touch panel
is touched according to a preset track, the trigger signal corresponding to the preset
track is sent to the washing machine and the step S11 is executed; or
the recommendation apparatus is a physical key, and when the physical key is pressed
according to a preset key-press manner, the trigger signal corresponding to the preset
key-press manner is sent to the washing machine and the step S11 is executed; or
the recommendation device is a combined key composed of at least two keys existed
on the washing machine, and when the combined key is pressed, the trigger signal corresponding
to the combined key is sent to the washing machine and the step S11 is executed.
[0016] The disclosure further provides a washing machine adopting the method; a recommendation
apparatus is arranged on the washing machine and is used for triggering the washing
machine to send a commodity recommendation command to a server; the server sends recommended
commodities to an intelligent terminal bound to the washing machine according to the
commodity recommendation command; and the intelligent terminal displays the recommended
commodities on a display interface.
[0017] Further, the recommendation apparatus is a touch panel arranged on the washing machine,
and a manner for triggering the touch panel includes: touching the touch panel according
to a preset track; or
the recommendation apparatus is a physical key arranged on the washing machine, and
a manner for triggering the physical key at least includes any one of a group consisted
of pressing once, continuously pressing twice, continuously pressing for three times,
long pressing once, shortly pressing once and then long pressing once, and shortly
pressing twice and then long pressing once; or
the recommendation apparatus is a combined key composed of at least two keys existed
on the washing machine, and a manner for triggering the combined key includes: pressing
all the keys composing the combined key simultaneously.
[0018] The disclosure further provides a method for quickly recommending commodities by
using a washing machine, which includes:
S21: identifying a commodity by using a commodity identification apparatus on the
washing machine and obtaining commodity information;
S22: sending a commodity recommendation command containing the commodity information
to a server;
S23: enabling the server to automatically recommend commodities relevant to the commodity
information by using big data and send recommended commodities to an intelligent terminal
bound to the washing machine after the server receives the commodity recommendation
command; and
S24: enabling the intelligent terminal to display the recommended commodities on a
display interface, the displayed information at least including commodity identifiers
and URL addresses corresponding to the commodity identifiers.
[0019] Further, the step of enabling the server to automatically recommend commodities relevant
to the commodity information by using big data includes:
A21: enabling the server to search for all commodities relevant to the commodity information
in at least one online shopping mall according to the commodity information;
A22: enabling the server to actively obtain additional information, the additional
information including at least one of a group consisted of a historical purchase record
of a user, a commodity browse record of the user, position information of the washing
machine, a current season and current weather; and
A23: enabling the server to recommend commodities relevant to the additional information
from the searched commodities by using the big data.
[0020] Further, before the step S24, the method further includes:
popping out a piece of prompt information on the display interface of the intelligent
terminal, the prompt information being used for prompting on whether to display the
recommended commodities on the display interface of the terminal or not and if yes,
executing the step S24.
[0021] Further, in the step S24, the intelligent terminal further displays an option of
at least one sorting criterion on the display interface, for sorting the recommended
commodities according to the sorting criterion; and
the sorting criterion includes at least one of a group consisted of sorting according
to prices, sorting according to comments, sorting according to popularities, and sorting
according to access amounts to the online shopping mall.
[0022] Further, ordering options corresponding to the commodity identifiers are further
arranged on the display interface of the intelligent terminal and are used for triggering
the server to automatically generate a commodity order for commodities corresponding
to the commodity identifiers.
[0023] Further, after the step S24, the method further includes: sending ordering commands
to the server when detecting that a user clicks the ordering options, and enabling
the server to automatically generate the commodity order.
[0024] Further, the step of enabling the server to automatically generate the commodity
order includes:
B21: obtaining commodity attributes according to the URL addresses corresponding to
the commodity identifiers; and
B22: searching for preset consignee information and payment manner, and automatically
generating the commodity order.
[0025] Further, after detecting that the user clicks the ordering options, the method further
includes: popping out a prompt on whether to confirm ordering or not on the display
interface of the intelligent terminal, and if yes, sending the ordering commands to
the server and enabling the server to automatically generate the commodity order.
[0026] Further, the commodity identification apparatus is a scanner, and in the step S21,
the scanner on the washing machine is used to scan a two-dimensional code or a barcode
on the commodity and to obtain the commodity information; and
preferably, the commodity identification apparatus is an RFID reader/writer, and in
the step S21, the RFID reader/writer is used to read an RFID chip on the commodity
and to obtain the commodity information.
[0027] The disclosure further provides a washing machine adopting the method; the washing
machine is provided with
a commodity identification apparatus, used for identifying a commodity, obtaining
commodity information and sending the commodity information to a control module;
the control module, used for receiving the commodity information and storing the commodity
information to a commodity recommendation command for gathering, and sending the commodity
recommendation command to a server via a communication module, wherein the server
automatically recommends commodities relevant to the commodity information by using
big data, sends recommended commodities to an intelligent terminal bound to the washing
machine and displays the recommended commodities on a display interface of the terminal;
and
the communication module, used for connecting the control module with the server,
thereby implementing data interaction.
[0028] Through the technical solutions provided by the specific implementations of the disclosure,
the following beneficial effects are achieved.
[0029] According to the disclosure, by sending the trigger signal to the washing machine,
and recommending most appropriate commodities by the server using the big data, the
online shopping time of a user is saved, the shopping efficiency of the user is improved
and the operation of the user is simplified and thus the quick purchase of the commodities
is implemented.
BRIEF DESCRIPTION OF THE DRAWINGS
[0030] In order to describe the technical solutions in the specific implementations of the
disclosure more clearly, a simple introduction on the accompanying drawings which
are needed in the description of the specific implementation manners is given below.
Apparently, the accompanying drawings in the description below are merely some of
the embodiments of the disclosure, based on which other drawings can be obtained by
those of ordinary skill in the art without any creative effort.
Fig. 1 is a flow diagram of a method for quickly recommending commodities by using
a washing machine provided by the disclosure;
Fig. 2 is a flow diagram of another method for quickly recommending commodities by
using a washing machine provided by the disclosure;
Fig. 3 is a flow diagram of another method for quickly recommending commodities by
using a washing machine provided by the disclosure;
Fig. 4 is a flow diagram of a setting method provided by the disclosure;
Fig. 5 is a structural schematic diagram of a washing machine provided by the disclosure;
Fig. 6 is a structural schematic diagram of a control panel of a washing machine provided
by the disclosure;
Fig. 7 is a structural schematic diagram of another control panel of a washing machine
provided by the disclosure;
Fig. 8 is a schematic diagram of a display interface of an intelligent terminal provided
by the disclosure;
Fig. 9 is a flow diagram of another method for quickly recommending commodities by
using a washing machine provided by the disclosure;
Fig. 10 is a flow diagram of another method for quickly recommending commodities by
using a washing machine provided by the disclosure;
Fig. 11 is a flow diagram of another method for quickly recommending commodities by
using a washing machine provided by the disclosure; and
Fig. 12 is a structural schematic diagram of another washing machine provided by the
disclosure.
DETAILED DESCRIPTION
[0031] In the disclosure, the washing machine is an intemet-of-things washing machine. The
washing machine is in communication connection with a server. The server is in communication
connection with an intelligent terminal. The communication technology can be any one
of a group consisted of WIFI, GPRS, ZigBee and RS-485 technology. The washing machine
exchanges data with the server after an intemet-of-things function is enabled. The
intelligent terminal is an intelligent mobile phone/a PAD/a PC. Wherein, the server
is used for providing a washing machine management platform service, including registration
and management of a user account, and binding and management of the washing machine
and the user account. The server further sends a control command to the washing machine
and receives information reported by the washing machine, and further synchronizes
a running status of the washing machine to the intelligent terminal. After an APP
capable of controlling the washing machine is installed on the intelligent terminal,
an account can be registered on an APP client and is bound to the washing machine.
[0032] The implementations will be further described below with reference to the accompanying
drawings and embodiments.
Embodiment I
[0033] The embodiment provides a method for quickly recommending commodities by using a
washing machine. As shown in Fig. 1, the method includes the following steps.
[0034] Step 101: the washing machine receives a trigger signal.
[0035] Step 102: a commodity recommendation command is sent to a server, the commodity recommendation
command at least including an identifier of the trigger signal.
[0036] Step 103: the server searches for a keyword corresponding to the commodity recommendation
command, automatically recommends commodities relevant to the keyword by using big
data and sends recommended commodities to an intelligent terminal bound to the washing
machine after the server receives the commodity recommendation command.
[0037] Step 104: the intelligent terminal displays the recommended commodities on a display
interface, the displayed information at least including commodity identifiers and
URL addresses corresponding to the commodity identifiers.
[0038] In this embodiment, by sending the trigger signal to the washing machine, recommending
most appropriate commodities by the server using the big data and displaying the most
appropriate commodities on the intelligent terminal bound to the washing machine,
the user can obtain the most appropriate recommended commodities only with a one-step
action. In this way, the shopping time of the user is saved, the shopping efficiency
of the user is improved and the shopping operation of the user is simplified.
Embodiment II
[0039] The embodiment provides a method for quickly recommending commodities by using a
washing machine. As shown in Fig. 2, the method includes the following steps.
[0040] Step 201: the washing machine receives a trigger signal.
[0041] Wherein, a recommendation apparatus is arranged on the washing machine, and when
the recommendation apparatus is triggered, the trigger signal is sent to a control
module of the washing machine.
[0042] Preferably, the recommendation apparatus is a touch panel arranged on the washing
machine, and when the touch panel is touched by the user according to a preset track,
the trigger signal corresponding to the preset track is sent to the control module
of the washing machine.
[0043] Wherein, the touch panel is obtained by plating a surface of transparent glass with
a layer of tin antimony oxide thin film, namely a protective film, and electronic
signal anti-interference treatment is carried out between the touch panel and a liquid
crystal screen. The touch panel is a direct manifestation of a touch technology and
is used for inducing a touch signal, and analyzing and identifying the touch signal.
Therefore, when the touch panel is touched by the user according to a certain track,
the touch panel can induce a touch track of the user correspondingly.
[0044] Wherein, the preset track can be in any pattern. The preset track of each pattern
is referred to as a triggering manner. Preset tracks of different patterns correspond
to different triggering manners and each triggering manner corresponds to one trigger
signal. Preferably, the preset track is preset in the washing machine by a developer.
For example, the track preset in the washing machine is a letter pattern C, so when
the touch panel is touched by the user according to the letter pattern C, a trigger
signal corresponding to the letter pattern C is sent to the control module of the
washing machine. Further preferably, the preset track is set by the user freely and
is stored in the washing machine.
[0045] Further preferably, the recommendation apparatus is a physical key arranged on the
washing machine, and when the physical key is pressed according to a preset key-press
manner, a trigger signal corresponding to the preset key-press manner is sent to the
washing machine.
[0046] Wherein, the key-press manner of the physical key is preset in the washing machine
by the developer. Each key-press manner is referred to as a triggering manner and
each triggering manner corresponds to one trigger signal. Preferably, the key-press
manner at least includes any one of a group consisted of pressing once, continuously
pressing twice, continuously pressing for three times, long pressing once, shortly
pressing once and then long pressing once, and shortly pressing twice and then long
pressing once.
[0047] For example, the preset triggering manner includes pressing once and continuously
pressing for three times, which respectively correspond to a first trigger signal
and a second trigger signal. When the physical key is continuously pressed for three
times by the user, the physical key sends the second trigger signal to the control
module of the washing machine and the control module of the washing machine receives
the second trigger signal.
[0048] Preferably, the physical key is newly added key except a power key, a start/pause
key, a washing program key and washing parameter keys, wherein the washing parameter
keys are used for controlling various parameters in the washing program, such as rinsing,
dewatering, a water level, a time, a temperature, drying and a rotational speed.
[0049] For example, as shown in Fig. 6, a power key, a start/pause key, a washing program
key, a rinsing key, a dewatering key, a water level key and a one-key recommendation
key are arranged on the washing machine. The one-key recommendation key is the recommendation
apparatus and is used for triggering the washing machine to send the commodity recommendation
command to the server. The server recommends commodities most appropriate to the user
according to the commodity recommendation command and displays recommended commodities
on the intelligent terminal bound to the washing machine.
[0050] Preferably, the physical key is any one of a group consisted of the washing parameter
keys. After a washing program is selected and if the physical key is triggered, a
function of a corresponding washing parameter is executed. When the washing program
is not selected and if the physical key is triggered, a function of triggering the
washing machine to send the commodity recommendation command to the server is executed.
[0051] For example, as shown in Fig. 7, a power key, a start/pause key, a washing program
key, a rinsing key, a dewatering key and a water level key are arranged on the washing
machine. The water level key further can be used as the recommendation apparatus for
triggering the washing machine to send the commodity recommendation command to the
server. After startup of the washing machine, when the washing program is not selected
and if the water level key is pressed, the water level key executes a function of
recommending commodities at this moment. That is, a trigger signal corresponding to
the water level key is sent to the washing machine and the washing machine is triggered
to send the commodity recommendation command to the server. After the washing program
is selected and if the water level key is pressed, the water level key executes a
function of setting a water level of the washing machine.
[0052] Preferably, the recommendation apparatus is a combined key composed of any at least
two keys on the washing machine, and when the combined key is pressed, a trigger signal
corresponding to the combined key is sent to the washing machine.
[0053] A manner for triggering the combined key includes: pressing all keys composing the
combined key simultaneously.
[0054] For example, regarding the washing machine as shown in Fig. 7, the recommendation
apparatus is a combined key composed of a rinsing key, a dewatering key and a water
level key. When the rinsing key, the dewatering key and the water level key are pressed
simultaneously, a trigger signal corresponding to the combined key is sent to the
washing machine.
[0055] Regardless of whether the recommendation apparatus is the physical key, the touch
panel or the combined key and whichever the triggering manner is, the trigger apparatus
can send the trigger signal to the washing machine with only one-step operation of
the user. Therefore, the operation of the user is very convenient and no time is consumed.
[0056] Step 202: a commodity recommendation command is sent to the server, the commodity
recommendation command at least including an identifier of the trigger signal.
[0057] Specifically, when receiving the trigger signal, the washing machine obtains the
identifier of the trigger signal correspondingly, stores the identifier to the commodity
recommendation command and sends the commodity recommendation command to the server.
[0058] Wherein, a corresponding relationship between the trigger signal and the identifier
of the trigger signal is pre-stored in the washing machine. After reception of the
identifier of the trigger signal, the washing machine can obtain the identifier of
the trigger signal correspondingly.
[0059] Preferably, the commodity recommendation command further includes identity identification
information. The identity identification information is used for distinguishing each
of commodity recommendation commands sent by different washing machines or different
users so as to determine the uniqueness of each of the commodity recommendation commands.
[0060] Wherein, the identity identification information can be a washing machine code, and
also can be a user ID. Specifically, each washing machine has a unique code when leaving
a factory, for identifying different washing machine devices. The code is preset in
the control module of the washing machine. After the washing machine receives the
trigger signal, the code is obtained from the control module of the washing machine.
The user ID is an account number through which the user logs in the server. The account
number in the server is unique and is used for identifying different users. The account
number of the user is preset in the control module of the washing machine. After the
washing machine receives the trigger signal, the account number is obtained from the
control module of the washing machine.
[0061] Step 203: after reception of the commodity recommendation command, the server searches
for a keyword corresponding to the commodity recommendation command and searches for
all commodities relevant to the keyword in at least one online shopping mall according
to the keyword.
[0062] Preferably, the keyword is associated with laundry products. Further preferably,
the keyword is a category name of the laundry products, such as a laundry detergent,
a softener, a bleaching agent, washing powder, a washing soap and a flocculant. The
online shopping mall for example is Ehaier, Taobao, Tmall, and JDcom and so on.
[0063] For example, the keyword is a detergent and the server searches for various brands
and types of detergents in Ehaier.
[0064] Step 204: the server actively obtains additional information.
[0065] Wherein, the additional information includes at least one of a group consisted of
a historical purchase record of a user, a commodity browse record of the user, position
information of the washing machine, a current season and current weather.
[0066] Specifically, the historical purchase/browse record of the user is obtained by the
following manner: after an APP capable of controlling the washing machine is installed
on the intelligent terminal, an account is registered on an APP client and is bound
to the washing machine. When a commodity purchase/browse behavior is generated by
the user account, the corresponding purchase/browse record is stored to the server,
and the server directly obtains the historical purchase/browse record of the user
account.
[0067] For example, after the APP capable of controlling the washing machine is installed
on the intelligent terminal, the corresponding purchase/browse record is stored to
the server when the user purchases/browses the commodities on the online shopping
mall of the APP.
[0068] Preferably, the intelligent terminal further accesses the purchase/browse record
of the user on other APPs in the intelligent terminal, and synchronizes the purchase/browse
record to a server side.
[0069] For example, an APP capable of controlling the washing machine is installed on the
intelligent terminal. The APP capable of controlling the washing machine can get authorities
to access other APPs, and obtains the purchase/browse record and synchronizes the
purchase/browse record to the server side when the user purchases/browses commodities
on the other APPs.
[0070] The position information of the washing machine can be obtained by the following
manner: the server obtains a current position of the washing machine according to
a WIFI network of the washing machine, or the server obtains the current position
of the washing machine according to a GPRS on the washing machine.
[0071] The current season and weather can be obtained by the following manner: the server
obtains a season and a weather corresponding to a geographical position directly from
a network according to the current position of the washing machine.
[0072] Step 205: the server recommends commodities relevant to the additional information
from the searched commodities by using big data, and sends recommended commodities
to an intelligent terminal bound to the washing machine.
[0073] Specifically, the server recommends commodities most approximate to the historical
purchase/browse record of the user from the searched commodities. The server further
obtains the local water hardness from a network according to the position information
of the washing machine and recommends commodities best matched with the local water
hardness from the searched commodities (e.g. a detergent, a softener and the like
matched with the water hardness). The server further recommends commodities most appropriate
to be used in current season and weather from the searched commodities (e.g. a laundry
detergent without hurt to a hand in winter).
[0074] Further, the server generates a URL address for each of the recommended commodities
and sends the URL addresses to the intelligent terminal. Preferably, the server generates
the URL address for all commodities relevant to the keyword and the commodities relevant
to the additional information respectively, and sends the URL addresses to the intelligent
terminal.
[0075] Step 206: the intelligent terminal pops out a piece of prompt information on a display
interface, the prompt information being used for prompting on whether to display the
recommended commodities on the display interface of the terminal or not.
[0076] If yes, the step 207 is executed. If no, the intelligent terminal pops out a prompt
on whether to delay or not, redisplays the prompt information after a preset time
if yes and cancels the prompt information and ignores the recommended commodities
sent by the server at this time if no.
[0077] For example, the prompt information popped out by the intelligent terminal on the
display interface is "A piece of detergent recommendation information from the washing
machine is received, whether to open", and "Open" and "Cancel" options are given on
the display interface. When the user selects the "Open" option, the intelligent terminal
executes the step 207. When the user selects the "Cancel" option, the intelligent
terminal pops out a prompt "Redisplay after 1h, OK?" on whether to delay or not and
provides two operation options, namely "Delay for 1h" and "Don't display again". If
the user chooses the "Delay for 1h", the intelligent terminal redisplays the prompt
information "A piece of detergent recommendation information from the washing machine
is received, whether to open" after 1h. If the user chooses the "Don't display again",
the terminal ignores the recommended commodities sent by the server at this time.
[0078] Step 207: the intelligent terminal displays the recommended commodities on the display
interface, the displayed information at least including commodity identifiers and
URL addresses corresponding to the commodity identifiers.
[0079] Wherein, the commodity identifiers can be commodity names. The URL addresses are
used for pointing to unique destination addresses of the commodities in the online
shopping mall. After one destination address is determined, a part of commodity attributes
are determined correspondingly, such as a shopping mall name, a store name, a commodity
category, a name, a brand, a specification, a model, a style and a price. By clicking
the URL addresses, the user can enter commodity shopping pages to purchase the commodities.
Preferably, the displayed information further includes commodity pictures corresponding
to the commodity identifiers.
[0080] Preferably, the intelligent terminal further displays all commodities relevant to
the keyword. Specifically, a recommended commodity option and a conventional commodity
option (as shown in Fig. 8) can be arranged on the display page of the intelligent
terminal, in which the conventional commodity option is used for displaying all commodities
relevant to the keyword and the recommended commodity option is used for displaying
the commodities recommended by the server and relevant to the additional information.
By clicking the options, the user can switch the commodity information displayed on
the display page.
[0081] Preferably, the intelligent terminal further displays an option of at least one sorting
criterion on the display interface (as shown in Fig. 8), for sorting the recommended
commodities according to the sorting criterion, wherein the sorting criterion includes
at least one of a group consisted of sorting according to prices, sorting according
to comments, sorting according to popularities, and sorting according to access amounts
to the online shopping mall. The sorting according to the access amounts to the online
shopping mall refers to click rates to a homepage of the shopping mall.
[0082] In this embodiment, when the washing machine receives the trigger signal, the commodities
appropriate to the user are recommended by the server using the big data and are displayed
on the intelligent terminal bound to the washing machine, so that the user can obtain
the most appropriate recommended commodities only with a one-step operation. In this
way, the online shopping time of the user is saved, the shopping efficiency of the
user is improved and the operation of the user is simplified.
Embodiment III
[0083] In the embodiment, on the basis of the embodiment II, the user can purchase the commodities
displayed on the display interface of the terminal in a conventional purchase manner,
and also can perform one-key ordering on the commodities.
[0084] Wherein, the conventional purchase manner refers to that the user can directly click
the URL address of the commodity to enter the commodity purchase page and select commodity
attributes (such as a style and a quantity), then clicks an immediate purchase option
to enter a setting page to set consignee information and confirm the ordering, and
then enters a payment page to select a payment manner and input a payment password
so that the server generates a commodity order.
[0085] The one-key ordering on the commodities refers to that there is provided a one-key
ordering option (as shown in Fig. 8) on the display page of the recommended commodities
and the user can choose at least one commodity by ticking options in front of the
commodity identifiers and then clicks the one-key ordering so that the commodity order
can be generated directly for all ticked commodities; or
after the user clicks the URL address to enter the commodity purchase page, there
is provided with the one-key ordering option on the commodity purchase page. If the
attributes need to be set, the user can set the attributes (such as the style and
the quantity) on the commodity purchase page first and then clicks the one-key ordering
so that the commodity order can be directly generated for the commodities in the URL
address.
[0086] Specifically, after the step 207, as shown in Fig. 3, a one-key ordering method for
the commodities includes the following steps.
[0087] Step 208: when detecting that the user clicks the one-key ordering option, an ordering
command is sent to a server.
[0088] Preferably, when detecting that the user clicks the one-key ordering option, the
display interface of the intelligent terminal pops out a prompt on whether to confirm
the ordering or not and provides "CONFIRM" or "Cancel" operation options. When the
user chooses the "CONFIRM", the intelligent terminal sends the ordering command to
the server. By selecting the "Cancel", the user can directly cancel the ordering at
this time.
[0089] Step 209: after reception of the ordering command, the server automatically generates
a commodity order.
[0090] After the reception of the ordering command, the server executes the following steps
specifically.
[0091] Step (1): the server obtains commodity attributes according to the URL addresses
corresponding to the commodity identifiers.
[0092] Wherein, the URL addresses are used for pointing to a unique destination address
of each of the commodities in the online shopping mall. After one destination address
is determined, a part of the commodity attributes are determined correspondingly,
such as a shopping mall name, a store name, a commodity category, a name, a brand,
a specification, a model, a style and a price.
[0093] Wherein, the shopping mall name is Ehaier, Tmall and the like. The store name is
an XX flagship store. The commodity category are laundry products. The name is washing
powder, a detergent and a softener, etc. The brand is Tide and Liby, etc. The specification
is n kg, n ml and the like. The model/style is a completely-efficient fragrant type,
a lavender gentle scent type and the like.
[0094] Step (2): the server searches for preset consignee information and payment manner,
and automatically generates the commodity order.
[0095] Wherein, the consignee information and the payment manner are preset in the server.
Specifically, the consignee information and the payment manner are added to the server
by the developer when the user purchases the washing machine and corresponding information
are filled out. Preferably, the user can fill out the corresponding information actively
and store the information to the server on a webpage of a corresponding APP client
or PC client.
[0096] The server obtains a login status of the user account after obtaining the commodity
attributes. If the user does not log in, a prompt is given to the user to log in.
If the user logs in, default consignee information and payment manner of the log-in
user are searched, the commodities are automatically paid according to the preset
payment manner and the commodity order is generated according to the consignee information.
The server sends the commodity order to a merchant and prompts the merchant of a new
commodity order. The merchant can select corresponding commodities according to the
commodity attributes of the commodities in the commodity order, fills out a logistic
express bill according to the consignee information and sends the commodities to an
address of a consignee via an express company or a logistics company.
[0097] Further, the consignee information at least includes a consignee name, a consignee
telephone number and a delivery address. Preferably, the consignee information further
includes a postal code of the delivery address. The payment manner includes online
payment or cash on delivery. Regarding the online payment, a selectable payment system
(such as credit card payment, debit card payment, alipay payment or wechat payment),
a priority payment sequence of the payment system (for example, the alipay payment
is used first and if the alipay payment fails, the wechat payment is used), and a
payment limit (for example, the one-off payment below RMB 200 Yuan can be made automatically
and the monthly payment should not exceed RMB 500 Yuan, etc.) further can be preset.
[0098] Preferably, after binding the washing machine on the intelligent terminal, the user
can enter the APP, logs in the account number of the user and sets the consignee information
and the payment manner.
[0099] In this embodiment, after the washing machine receives the trigger signal, the server
recommends the commodities appropriate to the user by using the big data and displays
the commodities on the intelligent terminal bound to the washing machine. The user
can perform one-key ordering on some commodity on the intelligent terminal and also
can perform quick ordering on mass commodities on the intelligent terminal. The user
can obtain the most appropriate recommended commodities only with one-step operation
and then can perform the one-key ordering on the recommended commodities to implement
the quick purchase of the commodities. Therefore, the online shopping time of the
user is saved, the shopping efficiency of the user is improved and the operation of
the user is simplified.
Embodiment IV
[0100] In this embodiment, a washing machine is in communication connection with a server.
The server is in communication connection with an intelligent terminal. An APP capable
of controlling the washing machine is installed on the intelligent terminal. A user
can register an account on the intelligent terminal and bind the account to the washing
machine.
[0101] Wherein, a recommendation apparatus is arranged on the washing machine. The recommendation
apparatus includes at least one triggering manner to be triggered. Each triggering
manner corresponds to one trigger signal, and different trigger signals correspond
to different keywords. The keyword is preset in the washing machine by the developer
and thus there is no need for the user to set the keyword. The keyword also can be
actively set by the user. After binding the washing machine on the intelligent terminal,
the user sets different keywords on the intelligent terminal according to different
trigger signals on the washing machine. Preferably, the keyword is a commodity name
relevant to the washing machine. Further preferably, the keyword is laundry products.
Since the laundry products for a home is generally placed near the washing machine,
when the laundry products is found to be used up soon, it can be quickly purchased
via the recommendation apparatus on the washing machine.
[0102] For the user setting the keyword actively, as shown in Fig. 4, the setting method
includes the following steps.
[0103] Step 301: a washing machine is bound on an intelligent terminal.
[0104] Specifically, after the washing machine is started, the intelligent terminal is entered
to enable a function of searching for the washing machine. When the washing machine
is detected, the intelligent terminal is automatically connected and bound with the
washing machine. Wherein, the connection between the intelligent terminal and the
washing machine is established via a WIFI technology and a Bluetooth technology, etc.
[0105] If the intelligent terminal and the washing machine is not connected, the user further
actively inputs a model of the washing machine on a page of the intelligent terminal
to bind the washing machine on the intelligent terminal.
[0106] For example, regarding a washing machine with an XX brand and an A-309S model, the
user enables the function of searching for the washing machine on the intelligent
terminal. When the washing machine with "the XX brand and the A-309S model" is detected,
the intelligent terminal is automatically connected and bound with the washing machine
via WIFI.
[0107] Step 302: the intelligent terminal obtains identity identification information and
an identifier of a trigger signal and stores the identity identification information
and the identifier of the trigger signal to a commodity recommendation command.
[0108] Wherein, when the keyword is actively set by the user, since the keywords set by
various users are different, it is necessary to distinguish the commodity recommendation
command sent by each washing machine according to the identity information. Hence,
when the keyword is set, there is also a need to store the identity identification
information of the user to the commodity recommendation command.
[0109] Wherein, the step of obtaining the identifier of the trigger signal specifically
includes: after the washing machine is bound with the intelligent terminal, the intelligent
terminal obtains a model of the washing machine and displays all triggering manners
corresponding to washing machine of the model on a setting interface of the terminal.
When the user selects one triggering manner, the intelligent terminal obtains the
identifier of the trigger signal corresponding to the triggering manner.
[0110] For example, for the washing machine with the XX brand and the A-309S model, a physical
key is arranged on the washing machine and the corresponding triggering manner includes:
pressing once, continuously pressing twice and continuously pressing for three times.
After the intelligent terminal is bound with the washing machine of the A-309S model,
the intelligent terminal obtains the model "A-309S" and displays the triggering manner
of "pressing once, continuously pressing twice and continuously pressing for three
times" on the setting interface. When the user chooses pressing once on the setting
interface, the intelligent terminal obtains an identifier of a trigger signal corresponding
to the "pressing once".
[0111] Wherein, the identity identification information is a washing machine code or a user
ID. Each washing machine is provided with a unique code when leaving the factory,
for identifying different washing machine device. The user ID is an account number
through which the user logs in the server. The account number is unique in the server
and is used for identifying different users.
[0112] The step of obtaining the user ID specifically includes: the user ID that logs in
the intelligent terminal is obtained directly and the user ID is synchronized to a
control module of the washing machine, so that when receiving the trigger signal,
the washing machine obtains the user ID, stores the user ID to the commodity recommendation
command of the washing machine and sends the commodity recommendation command to the
server.
[0113] For example, the user ID that logs in the intelligent terminal is a mobile phone
number "136****1234", and the intelligent terminal directly obtains the user ID "136****1234"
and synchronizes the user ID to the washing machine.
[0114] The step of obtaining the washing machine code specifically includes: the washing
machine code is obtained from the washing machine, or the washing machine code is
obtained when the condition that the user inputs the washing machine code at the intelligent
terminal is detected.
[0115] For example, an ex-factory code of the washing machine is "20150910****1234". The
intelligent terminal obtains the code "20150910****1234" from the washing machine
or the user directly inputs the code "20150910****1234" at the setting interface of
the intelligent terminal.
[0116] Specifically, after obtaining the identity identification information and the identifier
of the trigger signal, the intelligent terminal stores the identity identification
information and the identifier of the trigger signal to the commodity recommendation
command, wherein the commodity recommendation command stored by the intelligent terminal
is the same as the commodity recommendation command in the washing machine. Preferably,
the commodity recommendation command stored by the intelligent terminal further can
be synchronized to the washing machine.
[0117] For the commodity recommendation commands containing the identity identification
information and the identifier of the trigger signal, the commodity recommendation
commands sent by different washing machine devices or user IDs are different. Moreover,
different triggering manners correspond to different trigger signals. The commodity
recommendation commands sent by the same washing machine device or user ID are also
different. Hence, each of the commodity recommendation commands is unique.
[0118] Step 303: the intelligent terminal sets the keyword corresponding to the commodity
recommendation command, and stores the corresponding relationship therebetween to
the server.
[0119] Specifically, after storing the identity identification information and the identifier
of the trigger signal to the commodity recommendation command and when detecting that
the user sets the keyword at the setting interface, the intelligent terminal stores
information set by the user, establishes the corresponding relationship between the
commodity recommendation command and the keyword and stores the corresponding relationship
therebetween to the server.
[0120] Preferably, the default consignee information and payment manner further are set,
so that the user can conveniently perform the one-key ordering when shopping on a
commodity recommendation page and the commodity order can be generated quickly.
[0121] Wherein, the consignee information at least includes a consignee name, a consignee
telephone number and a delivery address. Preferably, the consignee information further
includes a postal code of the delivery address. The payment manner includes online
payment or cash on delivery. Regarding the online payment, a selectable payment system
(such as credit card payment, debit card payment, alipay payment or wechat payment),
a priority payment sequence of the payment system (for example, the alipay payment
is used first and if the alipay payment fails, the wechat payment is used), and a
payment limit (for example, the one-off payment below RMB 200 Yuan can be made automatically
and the monthly payment should not exceed RMB 500 Yuan, etc.) further can be preset.
[0122] In this embodiment, for an intelligent internet-of-things washing machine supporting
installation of an APP, the APP further is directly installed on the washing machine.
The user can register an account on the washing machine to bind the account with the
washing machine, set a keyword corresponding to a commodity recommendation command
on the washing machine and stores a corresponding relationship therebetween to the
server.
[0123] After the completion of setting and storing the set contents, the user triggers the
recommendation apparatus on the washing machine according to a set triggering manner
in every shopping in future use. The washing machine executes the method in the embodiment
I, the embodiment II or the embodiment III to recommend corresponding commodities
to the user and the user directly clicks a link to purchase or directly places an
order according to an actual demand. In this way, the shopping operation of the user
is simplified, the shopping time of the user is saved, and the user experience is
improved.
Embodiment V
[0124] The embodiment provides a washing machine. As shown in Fig. 5, the washing machine
is an internet-of-things washing machine. The washing machine is in communication
connection with a server. The server is in communication connection with an intelligent
terminal.
[0125] Wherein, a recommendation apparatus is arranged on the washing machine and is used
for triggering the washing machine to send a commodity recommendation command to the
server. The server searches for a keyword corresponding to the commodity recommendation
command according to the commodity recommendation command, automatically recommends
commodities relevant to the keyword by using big data, sends the commodities to the
intelligent terminal and displays the commodities on the intelligent terminal. The
user can directly click a link to purchase the commodities.
[0126] Specifically, the washing machine includes a communication module and a control module.
The washing machine performs data interaction with the server via the communication
module. The recommendation apparatus sends a corresponding trigger signal to the control
module of the washing machine when being triggered. After reception of the trigger
signal, the control module sends a corresponding commodity recommendation command
to the server via the communication module, wherein the commodity recommendation command
at least includes an identifier of the trigger signal. After reception of the commodity
recommendation command, the server searches for a keyword corresponding to the commodity
recommendation command, automatically recommends commodities relevant to the keyword
by using big data and sends recommended commodities to the intelligent terminal bound
to the washing machine for displaying.
[0127] Preferably, the recommendation apparatus is a touch panel arranged on the washing
machine, and a manner for triggering the touch panel comprises: touching the touch
panel according to a preset track
[0128] The preset track can be in any pattern. The preset track of each pattern is referred
to as a triggering manner. Preset tracks of different patterns correspond to different
triggering manners and each triggering manner corresponds to one trigger signal. Preferably,
the preset track is preset in the washing machine by a developer. For example, the
track preset in the washing machine is a letter pattern C, and the triggering manner
is touching the touch panel according to a track letter C.
[0129] Further preferably, the recommendation apparatus is a physical key arranged on the
washing machine. The key-press manner of the physical key is preset in the washing
machine by the developer. Each key-press manner is referred to as a triggering manner
and each triggering manner corresponds to one trigger signal. Preferably, a manner
for triggering the physical key at least includes any one of a group consisted of
pressing once, continuously pressing twice, continuously pressing for three times,
long pressing once, shortly pressing once and then long pressing once, and shortly
pressing twice and then long pressing once.
[0130] Preferably, the physical key is a newly added key except a power key, a start/pause
key, a washing program key and washing parameter keys. The washing parameter keys
are used for controlling various parameters in the washing program such as rinsing,
dewatering, a water level, a time, a temperature, drying and a rotational speed.
[0131] For example, as shown in Fig. 6, a power key, a start/pause key, a washing program
key, a rinsing key, a dewatering key, a water level key and a one-key recommendation
key are arranged on the washing machine. The one-key recommendation key is the recommendation
apparatus and is used for triggering the washing machine to send the commodity recommendation
command to the server. The server screens commodities according to the commodity recommendation
command and displays screened commodities on the intelligent terminal bound to the
washing machine.
[0132] Preferably, the physical key is any one of the washing parameter keys. After a washing
program is selected and if the physical key is triggered, the function of the corresponding
washing parameter is executed. When the washing program is not selected and if the
physical key is triggered, the function of triggering the washing machine to send
the commodity recommendation command to the server is executed.
[0133] For example, as shown in Fig. 7, a power key, a start/pause key, a washing program
key, a rinsing key, a dewatering key and a water level key are arranged on the washing
machine, wherein the water level key further is used as the recommendation apparatus
for triggering the washing machine to send the commodity recommendation command to
the server. After startup of the washing machine, when the washing program is not
selected and if the water level key is pressed, the water level key executes a shopping
function at this moment. That is, a trigger signal corresponding to the water level
key is sent to the washing machine and the washing machine is triggered to send the
commodity recommendation command to the server. After the washing program is selected
and if the water level key is pressed, the water level key executes a function of
setting a water level of the washing machine.
[0134] Preferably, the recommendation apparatus is a combined key composed of any at least
two keys on the washing machine, and a manner for triggering the combined key includes:
pressing all keys composing the combined key simultaneously.
[0135] For example, as shown in Fig. 7, the recommendation apparatus is a combined key composed
of a rinsing key, a dewatering key and a water level key. A manner for triggering
the combined key includes: pressing the rinsing key, the dewatering key and the water
level key simultaneously.
[0136] Regardless of whether the recommendation apparatus is the physical key, the touch
panel or the combined key and whichever the triggering manner is, the user can obtain
the commodities recommended by the server using the big data and most appropriate
to the user in one step by using the washing machine. By virtue of such a shopping
washing machine, not only is the shopping habit of the user improved, but the shopping
time of the user is also saved; the shopping efficiency of the user is improved, the
shopping experience of the user is greatly improved and the experience of the user
to use the washing machine is also improved.
Embodiment VI
[0137] The embodiment provides a method for quickly recommending commodities by using a
washing machine. As shown in Fig. 9, the method includes the following steps.
[0138] Step 101: a commodity is identified by a commodity identification apparatus on the
washing machine and commodity information is obtained.
[0139] Step 102: a commodity recommendation command containing the commodity information
is sent to a server.
[0140] Step 103: after reception of the commodity recommendation command, the server automatically
recommends commodities relevant to the commodity information by using big data and
sends recommended commodities to an intelligent terminal bound to the washing machine.
[0141] Step 104: the intelligent terminal displays the recommended commodities on a display
interface, the displayed information at least including commodity identifiers and
URL (Uniform Resource Locator) addresses corresponding to the commodity identifiers.
[0142] In this embodiment, the commodity is directly identified by the commodity identification
apparatus on the washing machine and the server recommends the commodities appropriate
to the user by using the big data and displays the commodities on the intelligent
terminal bound to the washing machine. For the user, the recommended commodities most
appropriate to the user is obtained only by scanning the commodity once or reading
the information via a reader. In this way, the online shopping time of the user is
saved, the shopping efficiency of the user is improved and the operation of the user
is simplified.
Embodiment VII
[0143] The embodiment provides a method for quickly recommending commodities by using a
washing machine. The differences of this embodiment from the embodiment II lies in
that, as shown in Fig. 10, the method includes the following steps.
[0144] Step 201: a commodity is identified by a commodity identification apparatus on the
washing machine and commodity information is obtained.
[0145] Wherein, a commodity identification apparatus is arranged on the washing machine
and is used for identifying the commodity and obtaining the commodity information.
Preferably, the commodity identification apparatus is an RFID reader/writer. An RFID
chip is arranged on the commodity. Relevant information of the commodity including
a name, a brand, a manufacturer, a style/model and the like of the commodity is pre-stored
in the chip.
[0146] Further preferably, the commodity identification apparatus is a scanner and can scan
a two-dimensional code or barcode attached to the commodity. The two-dimensional code
or barcode of the commodity contains information relevant to the commodity.
[0147] Wherein, the barcode is a graphic identifier on which multiple black bars and blanks
having unequal widths are arranged according to a certain encoding rule to express
a group of information, and can store a character and a figure. The conventional barcode
is a parallel line pattern arranged by black bars (referred to as bars) and white
bars (referred to as blanks) having very large reflectivity. Much information such
as a manufacturing country, a manufacturer, a commodity name, a production date, a
book classification number, a mail start/stop location, a category, a date and the
like of an article can be marked on the barcode and thus is widely applied to book
management, postal management, a bank system and particularly to commodity circulation.
Therefore, by scanning the barcode on the commodity, relevant information of the commodity
can be obtained.
[0148] For example, the scanned commodity is a commodity with the barcode "6920174700787".
By searching in a barcode database, relevant information of the commodity is obtained,
including that the category is a laundry product, the name is a laundry detergent,
the brand is Liby, the specification is 500g and the model/style is cleaning rose.
[0149] Wherein, the two-dimensional code is a black and white chequered graph formed in
a manner that certain special geometric figures are distributed on a plane (in a two-dimensional
direction) according to a certain rule and used for recording data symbol information.
A concept of "0" and "1" bit streams composing an internal logic basis of a computer
in code compilation is utilized, character value information is expressed by using
a plurality of geometric forms corresponding to a binary system, and the two-dimensional
code is automatically read via an image input device or an optoelectronic scanning
device to implement information automatic processing. The two-dimensional code has
some common characteristics of barcode technologies: each code system has a special
character set; each character has a certain width; and the two-dimensional code has
a certain verification functions and the like, simultaneously further has an automatic
identification function for information on different lines and processes a graph rotational
transformation point. Besides the character and the finger, the stored information
further can include a picture, a sound and other information. The two-dimensional
code is used on a commodity for indicating a brand, a place of origin, a style, a
model or even a composition and the like of the commodity. Therefore, through scanning
the two-dimensional code on the commodity, the relevant information of the commodity
can be obtained.
[0150] When the user washes the clothes and finds that the detergent is used up and needs
to be purchased, in order to prevent forgetting, the barcode/two-dimensional code
on an outer package of the detergent can be intermediately placed onto the scanner
of the washing machine for scanning, so that the washing machine obtains relevant
information of the detergent.
[0151] Step 202: a commodity recommendation command containing the commodity information
is sent to a server.
[0152] Specifically, the washing machine sends the commodity recommendation command containing
the commodity information to the server via a communication module.
[0153] Step 203: after reception of the commodity recommendation command, the server searches
for all commodities relevant to the commodity information in at least one online shopping
mall according to the commodity information.
[0154] Specifically, after the reception of the commodity recommendation command, the server
analyzes contents relevant to the commodity in the commodity information, wherein
the commodity information at least includes a name or a commodity identifier of the
commodity. The server searches for all relevant commodities in at least one online
shopping mall according to the contents in the commodity information.
[0155] Wherein, the online shopping mall for example is Ehaier, Taobao, Tmall, JDcom and
the like. The searched commodities include: a commodity containing the same commodity
information (such as a same type of Tide lavender gentle scent laundry detergent),
a commodity similar to the commodity corresponding to the commodity information (such
as a Liby lavender laundry detergent) and a commodity matched with the commodity corresponding
to the commodity information (such as a Tide lavender gentle scent softener), etc.
When the commodity scanned by the user is a piece of clothes, according to a material
of the clothes, a detergent suitable for the material, an accessory matched with the
clothes and the like further can be recommended.
[0156] Step 204: the server actively obtains additional information.
[0157] Step 205: the server recommends commodities relevant to the additional information
from the searched commodities by using the big data and sends recommended commodities
to an intelligent terminal bound to the washing machine.
[0158] Step 206: the intelligent terminal pops out a piece of prompt information on a display
interface, the prompt information being used for prompting on whether to display the
recommended commodities on the display interface of the terminal or not.
[0159] Step 207: the intelligent terminal displays the recommended commodities on the display
interface, the displayed information at least including commodity identifiers and
URL addresses corresponding to the commodity identifiers.
[0160] The technical solutions recorded in the step 204 to the step 207 are the same as
the technical solutions in the embodiment II.
[0161] In this embodiment, the commodity is directly identified by the commodity identification
apparatus on the washing machine, and the server recommends the commodities appropriate
to the user by using the big data and displays the commodities on the intelligent
terminal bound to the washing machine. For the user, the recommended commodities most
appropriate to the user is obtained only by scanning the commodity once or reading
the information via a reader. In this way, the online shopping time of the user is
saved, the shopping efficiency of the user is improved and the operation of the user
is simplified.
Embodiment VIII
[0162] In the embodiment, on the basis of the embodiment VII, the user can purchase the
commodities displayed on the display interface of the terminal according to a conventional
purchase manner or perform one-key ordering on the commodities.
[0163] The differences of the embodiment from the embodiment III are as follows: in this
embodiment, the commodity is directly identified by the commodity identification apparatus
on the washing machine and the server recommends the commodities appropriate to the
user by using the big data and displays the commodities on the intelligent terminal
bound to the washing machine. The user can perform one-key ordering on one commodity
on the intelligent terminal and also can perform quick ordering on mass commodities
on the intelligent terminal. For the user, the recommended commodities most appropriate
to the user is obtained only by scanning the commodity once or reading information
once on the washing machine, and then the one-key ordering is performed on the recommended
commodities to implement quick purchase of the commodities. In this way, the online
shopping time of the user is saved, the shopping efficiency of the user is improved
and the operation of the user is simplified.
Embodiment IX
[0164] The embodiment provides a washing machine. The differences of the embodiment from
the embodiment V are as follows: as shown in Fig. 12, the washing machine is in communication
connection with a server; the server is in communication connection with an intelligent
terminal; and the washing machine is provided with a commodity identification apparatus,
a control module and a communication module.
[0165] The commodity identification apparatus is used for identifying a commodity, obtaining
commodity information and sending the commodity information to the control module.
Preferably, the commodity identification apparatus is an RFID reader/writer. An RFID
chip is arranged on the commodity. Relevant information of the commodity including
a name, a brand, a manufacturer, a style/model and the like of the commodity is pre-stored
in the chip. Further preferably, the commodity identification apparatus is a scanner
and can scan a two-dimensional code or barcode attached to the commodity. The two-dimensional
code or barcode of the commodity contains information relevant to the commodity.
[0166] The control module is used for receiving the commodity information, storing the commodity
information to a commodity recommendation command and sending the commodity recommendation
command to the server via the communication module. The server automatically recommends
commodities relevant to the commodity information by using big data, sends recommended
commodities to the intelligent terminal bound to the washing machine and displays
the recommended commodities on a display interface of the terminal.
[0167] The communication module connects the control module with the server, thereby implementing
data interaction.
[0168] In this embodiment, a commodity identification apparatus is arranged on the washing
machine. The barcode or the two-dimensional code attached to commodity can be directly
identified by the user by using the commodity identification apparatus, thereby obtaining
the information relevant to the commodity. Moreover, the server recommends the commodities
most appropriate to the user to the intelligent terminal bound to the washing machine
by using the big data, and thus the user can quickly purchase the commodities on the
terminal.
[0169] The above descriptions are only preferred embodiments of the disclosure, and not
for limiting the disclosure in any form. Although the disclosure has been disclosed
by the preferred embodiments as above, they are not used to limit the disclosure.
Those skilled in the art makes use of the technical contents disclosed above to make
some changes or modify them into equivalent embodiments with equivalent changes without
departing from the scope of technical solutions of the disclosure. Any of simple variations,
equivalent changes and modifications made to the above embodiments in accordance with
the technical nature of the disclosure without departing from contents of technical
solutions of the disclosure belongs to the scope of technical solutions of the disclosure.
1. A method for quickly recommending commodities by using a washing machine comprising:
S11: enabling the washing machine to receive a trigger signal;
S12: sending a commodity recommendation command to a server, the commodity recommendation
command at least comprising an identifier of the trigger signal;
S13: enabling the server to search for a keyword corresponding to the commodity recommendation
command, automatically recommend commodity information relevant to the keyword by
using big data and send recommended commodities to an intelligent terminal bound to
the washing machine, after the server receives the commodity recommendation command;
and
S14, enabling the intelligent terminal to display recommended commodities on a display
interface of the intelligent terminal, wherein a displayed information at least comprises
a commodity identifier and URL address corresponding to the commodity identifier.
2. The method for quickly recommending the commodities by using the washing machine according
to claim 1, wherein the step of enabling the server to automatically recommend the
commodities relevant to the keyword by using big data comprises:
A11: enabling the server to search for commodities relevant to the keyword in at least
one online shopping mall according to the keyword;
A12: enabling the server to actively obtain additional information, the additional
information comprising at least one of a group consisting of a historical purchase
record of a user, a commodity browse record of the user, position information of the
washing machine, a current season and current weather; and
A13: enabling the server to recommend commodities relevant to the additional information
from searched commodities by using the big data.
3. The method for quickly recommending the commodities by using the washing machine according
to claim 1, further comprising:
before the step S14, popping out a piece of prompt information on the display interface
of the intelligent terminal, the prompt information being used for prompting whether
to display the recommended commodities on the display interface of the terminal or
not, and if yes, executing the step S14.
4. The method for quickly recommending the commodities by using the washing machine according
to claim 3, wherein the intelligent terminal further displays an option of at least
one sorting criterion on the display interface in the step S14, for sorting the recommended
commodities according to the sorting criterion; and
the sorting criterion comprises at least one of a group consisting of sorting according
to prices, sorting according to comments, sorting according to popularities, and sorting
according to access amounts to the online shopping mall.
5. The method for quickly recommending the commodities by using the washing machine according
to claim 1, wherein the commodity recommendation command further comprises identity
identification information; and the identity identification information comprises
a washing machine code and/or a user ID.
6. The method for quickly recommending the commodities by using the washing machine according
to claim 5, further comprising,
before the step S11, setting a corresponding relationship between the commodity recommendation
command and the keyword;
wherein, the setting method comprises:
B11: binding the washing machine on the intelligent terminal;
B12: enabling the intelligent terminal to obtain the identity identification information
and the identifier of the trigger signal, and store the identity identification information
and the identifier of the trigger signal into the commodity recommendation command;
and
B13: enabling the intelligent terminal to set the keyword corresponding to the commodity
recommendation command and store the corresponding relationship therebetween to the
server.
7. The method for quickly recommending the commodities by using the washing machine according
to any one of claims 1-6, wherein a recommendation apparatus is arranged on the washing
machine, and when the recommendation apparatus is triggered, the trigger signal is
sent to the washing machine.
8. The method for quickly recommending the commodities by using the washing machine according
to claim 7, wherein the recommendation apparatus is a touch panel, and when the touch
panel is activated according to a preset track, the trigger signal corresponding to
the preset track is sent to the washing machine and the step S11 is executed; or
the recommendation apparatus is a physical key, and when the physical key is pressed
according to a preset key-press manner, the trigger signal corresponding to the preset
key-press manner is sent to the washing machine and the step S11 is executed; or
the recommendation device is combined keys composed of at least two keys existed on
the washing machine, and when the combined keys are pressed, the trigger signal corresponding
to the combined keys is sent to the washing machine and the step S11 is executed.
9. The washing machine adopting the method according to any one of claims 1-8, wherein
the recommendation apparatus is arranged on the washing machine and is used for triggering
the washing machine to send the commodity recommendation command to the server;
the server sends recommended commodities to the intelligent terminal bound to the
washing machine according to the commodity recommendation command; and the intelligent
terminal displays the recommended commodities on the display interface of the intelligent
terminal.
10. The washing machine according to claim 9, wherein the recommendation apparatus is
a touch panel arranged on the washing machine, and a manner for triggering the touch
panel comprises: touching the touch panel according to a preset track; or
the recommendation apparatus is a physical key arranged on the washing machine, and
a manner for triggering the physical key at least comprises any one of a group consisting
of pressing once, continuously pressing twice, continuously pressing for three times,
long pressing once, shortly pressing once and then long pressing once, and shortly
pressing twice and then long pressing once; or
the recommendation apparatus is combined keys composed of at least two keys existed
on the washing machine, and a manner for triggering the combined keys comprises: pressing
all the keys composing the combined keys simultaneously.
11. A method for quickly recommending commodities by using a washing machine comprising:
S21: identifying a commodity by using a commodity identification apparatus on the
washing machine and obtaining commodity information;
S22: sending a commodity recommendation command containing the commodity information
to a server;
S23: enabling the server to automatically recommend commodities relevant to the commodity
information by using big data and send recommended commodities to an intelligent terminal
bound to the washing machine, after the server receives the commodity recommendation
command; and
S24: enabling the intelligent terminal to display the recommended commodities on a
display interface of the intelligent terminal, displayed information at least comprising
a commodity identifier and URL address corresponding to the commodity identifier.
12. The method for quickly recommending the commodities by using the washing machine according
to claim 11, wherein the step of enabling the server to automatically recommend commodities
relevant to the commodity information by using big data comprises:
A21: enabling the server to search for all commodities relevant to the commodity information
in at least one online shopping mall according to the commodity information;
A22: enabling the server to actively obtain additional information, the additional
information comprising at least one of a group consisting of a historical purchase
record of a user, a commodity browse record of the user, position information of the
washing machine, a current season and current weather; and
A23: enabling the server to recommend commodities relevant to the additional information
from searched commodities by using the big data.
13. The method for quickly recommending the commodities by using the washing machine according
to claim 11, further comprising:
before the step S24, popping out a piece of prompt information on the display interface
of the intelligent terminal, the prompt information being used for prompting whether
to display the recommended commodities on the display interface of the terminal or
not, and if yes, executing the step S24.
14. The method for quickly recommending the commodities by using the washing machine according
to claim 11, wherein the intelligent terminal further displays an option of at least
one sorting criterion on the display interface in the step S24, for sorting the recommended
commodities according to the sorting criterion; and
the sorting criterion comprises at least one of a group consisting of sorting according
to prices, sorting according to comments, sorting according to popularities, and sorting
according to access amounts to the online shopping mall.
15. The method for quickly recommending the commodities by using the washing machine according
to claim 11, wherein an ordering option corresponding to the commodity identifier
is further arranged on the display interface of the intelligent terminal and is used
for triggering the server to automatically generate a commodity order for a commodity
corresponding to the commodity identifier.
16. The method for quickly recommending the commodities by using the washing machine according
to claim 15, further comprising:
after the step S24, sending an ordering command to the server when detecting that
a user clicks the ordering option, and enabling the server to automatically generate
the commodity order.
17. The method for quickly recommending the commodities by using the washing machine according
to claim 16, wherein the step of enabling the server to automatically generate the
commodity order comprises:
B21: obtaining a commodity attribute according to the URL address corresponding to
the commodity identifier; and
B22: searching for preset consignee information and a payment manner, and automatically
generating the commodity order.
18. The method for quickly recommending the commodities by using the washing machine according
to claim 17, further comprising:
after detecting that the user clicks the ordering option, popping out a prompt whether
to confirm ordering or not on the display interface of the intelligent terminal, and
if yes, sending the ordering command to the server and enabling the server to automatically
generate the commodity order.
19. The method for quickly recommending the commodities by using the washing machine according
to any one of claims 11-18, wherein the commodity identification apparatus is a scanner,
and in the step S21, the scanner on the washing machine is used to scan a two-dimensional
code or a barcode on the commodity and to obtain the commodity information; and
preferably, the commodity identification apparatus is an RFID reader/writer, and in
the step S21, the RFID reader/writer is used to read an RFID chip on the commodity
and to obtain the commodity information.
20. The washing machine adopting the method according to any one of claims 11-19, wherein
the washing machine comprises:
the commodity identification apparatus, used for identifying a commodity, obtaining
commodity information and sending the commodity information to a control module;
the control module, used for receiving the commodity information and storing the commodity
information to a commodity recommendation command, and sending the commodity recommendation
command to a server via a communication module, wherein the server automatically recommends
commodities relevant to the commodity information by using big data, sends recommended
commodities to the intelligent terminal bound to the washing machine and displays
the recommended commodities on the display interface of the intelligent terminal;
and
the communication module, used for connecting the control module with the server,
thereby implementing data interaction.